Mayank Kunwar is a backend-focused software engineer with six years of experience contributing to large open-source projects and production systems from India. He has hands-on expertise fixing complex bugs and improving maintainability in high-profile Apache projects like Hive and Narayana, including work on transaction recovery, partitioned-table writes, and test refactors that removed PowerMock and upgraded Mockito. Comfortable bridging development and DevOps, he has updated build environments (including JDK 17 migrations and git protocol changes) and tuned build scripts to modernize CI workflows. Though early in his data-role experience, his open-source contributions show a preference for pragmatic, reliability-driven improvements that reduce operational pain.
6 years of coding experience
A, A at GL Bajaj Institute of Technology and Management
Contributions:117 reviews, 20 commits, 36 PRs in 2 years 4 months
Contributions summary:Mayank primarily contributed to the Narayana project by addressing bug fixes and implementing improvements related to transaction recovery, particularly within the ArjunaJTA component. They also made changes to the LRA (Long Running Action) module, including moving failure records and test adjustments. Furthermore, the user demonstrated DevOps skills by modifying the build scripts, and updating the build environment, including switching to JDK 17 and updating git protocols.
Contributions:53 reviews, 13 PRs, 60 comments in 2 years 7 months
Contributions summary:Mayank Kunwar primarily contributed to bug fixes and improvements within the Apache Hive project. He addressed issues related to metrics errors during HS2 startup, Hive 'insert overwrite table' operations on partitioned tables, and implemented support for custom delimiters in the SkippingTextInputFormat. Furthermore, he refactored code by removing PowerMock from beeline tests and upgrading Mockito, enhancing the codebase's maintainability.
flinksqlapachebig-dataspark
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